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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLI-B7-601-2016</article-id>
<title-group>
<article-title>LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET  TRANSFORMATION</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Haopeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jiang</surname>
<given-names>Zhiguo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cheng</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Image Processing Center, School of Astronautics, Beihang University, Beijing, 100191, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Beijing Key Laboratory of Digital Media, Beijing, 100191, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>93707 PLA Troops, Zhangjiakou, Hebei, 075000, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B7</volume>
<fpage>601</fpage>
<lpage>605</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2016 Haopeng Zhang et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B7/601/2016/isprs-archives-XLI-B7-601-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/XLI-B7/601/2016/isprs-archives-XLI-B7-601-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B7/601/2016/isprs-archives-XLI-B7-601-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLI-B7/601/2016/isprs-archives-XLI-B7-601-2016.pdf</self-uri>
<abstract>
<p>How to obtain accurate difference map remains an open challenge in change detection. To tackle this problem, we propose a change
detection method based on saliency detection and wavelet transformation. We do frequency-tuned saliency detection in initial difference
image (IDI) obtained by logarithm ratio to get a salient difference image (SDI). Then, we calculate local entropy of SDI to obtain an
entropic salient difference image (ESDI). The final difference image (FDI) is the wavelet fusion of IDI and ESDI, and Otsu thresholding
is used to extract difference map from FDI. Experimental results validate the effectiveness and feasibility.</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
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